Many Web3 projects in the past emphasized financial innovation, but the emergence of AI is changing industry focus.

In the future, when ordinary users use AI products, they may not care about which chain is behind them, nor where the data is stored.
They only want faster, more accurate, and more reliable intelligent services.
But behind these experiences, complex infrastructure support is required.
@0G_labs is exploring how to enable AI services to have a more open underlying network.
Through modular design, 0G breaks down and combines capabilities such as storage, data availability, and computation to provide more flexible foundational support for AI applications.
The significance of this design is that developers can more easily build new AI applications, and users can access more diverse intelligent services.
I have always believed that the integration of Web3 and AI should not just be about putting AI on the blockchain, but about solving real problems in AI development.
How data flows, how computation is shared, how intelligence is verified.
These issues determine whether AI in the future can shift from the capabilities of a few companies to the capabilities of an entire open network.
From this perspective, @0G_labs is exploring a longer-term direction.
It focuses not on a single AI product, but on the foundational environment needed for the future operation of the AI ecosystem.
@Galxe @GalxeQuest @wallchain @TermMaxFi